Whether we like it or not, whether we use Windows or not, Microsoft is going to insist on adding the tax whether the PC comes shipped with Windows or not. This is illegal bundling, Microsoft has essentially ignored prior rulings, and it's pretty much a certainty the courts will be fine with this.

What this guy tried, is perfectly acceptable. Itâ(TM)s also acceptable for the court to catch it and require the guy to submit hardcopy. If this forces a judge to think twice about feeding court cases into claude and then basing their judgement on the analysis, so much the better.

While there have been cases where lawyers have submitted AI generated content, and I think at least one instance a judge was caught using AI in their opinions, it's not common, and courts using AI to judge cases isn't a thing (and hopefully will never be a thing).

I mean, it's possible a judge might use AI to confirm a few details - a case with thousands of pages of submissions, evidence and filings can certainly be a good case to have AI help summarize or to help search through the documentation, it can't really be a substitute for human judgement.

While the effort would get me a "nice try" from me, I don't see where the sanction is unfair. It'll be like trying to slip a $100 bill with your filing to the judge. And I'm sure the judge didn't like the implication that his court is run with AI. Courts may not have a good reputation, but at least for now it's because of the judges and not the institution itself.

My university did the opposite, and to this day I think it was good.

At the end of the first semester, you were given a test in the three most important subjects for your field. If you failed, you could re-take it after the summer break, before next semester starts. If you failed it again, you could repeat the first semester and try a third and final time. Fail that, you're out.

It was hard, too. In my class, we were just over a hundred when we started. We were 28 in the 2nd semester. But of those 28, almost everyone made it to the end. Everyone who would've failed somewhere along the way had already been weeded out.

It was brutal, it was stressful - but IMHO it was the best way to do it and be respectful of both student time and university resources.

We had that in 1st grade. Not university, school. So students starting university have now regressed to the level of 6-year-olds ?

I get that it's stressful. I don't get how "managing stress" has vanished from the requirements of getting a degree.

I've got a co-worker like that; every email I get from him is just him copy-and-pasting text from his pet AI, and when I reply, he forwards my email on to his AI to read and generate the next reply for him.

Which raises the question... exactly what value is my co-worker providing there? Sooner or later management will notice that they are paying six figures of annual salary to what is essentially just a very slow meat-based email relay, and they'll lay him off and just have me communicate with the AI directly instead. There's a fine line between "all in" and "all redundant".

It all depends on one thing: Will your speech-driven AI agent reliably accomplish the tasks that you told it to do? If so, great, we've entered the glorious Star Trek future. OTOH if it screws up, even just 5% of the time, it'll be kicked to the curb, because a "timesaver" that you have to stand over and supervise to make sure it doesn't go wrong is no timesaver at all.

It's over an order of magnitude heavier than the largest of those (Helios).

There's a difference between an aircraft being built to lift itself and perhaps a tiny payload and be paperlight vs. an aircraft designed for actual commercial service carrying passengers.

The feet are needed to accelerate the plane to takeoff velocities in order to conserve battery mass.

Also, the big AI companies get a number of advantages, such as large batch sizes and being able to balance on-peak and off-peak workloads better.

Is most of your daily driving "a race"?

This is a midrange model. This is competitive midrange pricing. For my midrange work I've been using GLM-5.2 - Gemini 3.7 flash is a bit cheaper and a bit better on the benchmarks, so yeah, I'll probably switch so long as the prices stay low.

Sometimes you need a high-end model (Claude Fable, GPT 5.6 Sol, Kimi K3, etc). Sometimes a low-end model is fine (GPT 5.6 Luna, DeepSeek 4 Flash 0731, etc). Usually a midrange model is the best balance.

That's just it though. Microsoft is not getting destroyed. Somehow this usurper is making money, lots of it, even though his actions go against what most want. The anti-Christ I tell you.

Yeah, letting China perform tech support for the DoD was probably the most boneheaded move ever. Bravo Microsoft ... Bravo.

I'm convinced that Nadella is the anti-Christ. He consistently does the opposite of good.

Investors are chasing a company that achieves some kind of AI singularity. Let's set aside the fact that there's no reason to believe there is anything but diminishing marginal returns by making marginal refinements to current frontier models. Let's imagine someone hits the jackpot and gets, not even AGI, but a system that's as far ahead of today's frontier model are ahead of 2020's GPT 2.0 in performance.

Globally AI revenues are 150 billion, against a cumulative burn rate of 450 billion. A model that is a generation ahead of others would almost certainly capture the lion's share of that revenue.

If AGI magically appears as a Sam Altman has promised investors it will, a hundred million is way too low. Add, maybe, another zero to the revenues.

Conservatively, a safer assumption is that frontier models will get marginally better based on refinements in training and reinforcement and the other bits and bobs that go into these systems. The nobody is winning the lion's share of anything, at least overnight. But you have to define "safe". By "safe" I mean unlikely to lose money. But some investors are clearly defining "safe" as "having the greatest chance of owning a piece of the biggest thing ever."

I'm not following this super-closely, but if Anthropic is pursuing adding multi-step model based reasoning to their system, that could be the basis of a generational leap in capability. But if that is an approach that looks like it has a chance of working, then their competitors are no doubt pursuing the same thing. In that case you'd expect the revenue pie to grow as the scope of model utilty increases, but that growth to be split among several competitors. This could credibly result in a revenue stream for some of them that is as big as the entire industry's revenue stream today. But there's going to be hell to pay on the data center impacts end of things.

There are to be three variants of the ES-300: an all-electric 200km version, a hybrid 30-seat 400km version, and a hybrid 25-seat 800km version. And the ES-300 airframe very much is not some existing airframe.